Bestimmung links- und rechtsventrikulärer Volumenejektionsfraktionen (VEF) mittels MRT bei 1,0 T View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-02

AUTHORS

J.-A. Koch, L. W. Poll, E. Godehardt, U. Mödder

ABSTRACT

Purpose: To evaluate method- and user effects as well as the required time in the determination of left- and right ventricular ejection fractions in comparing manual and semiautomatic border detection of the endocardium.Methods: In 22 patients with varying cardiac diseases endocardial borders were detected either manually or semiautomatically (seeded ROI) and subsequently the right and left ventricular volume ejection fractions were computer-calculated. Two investigators defined the endocardial borders for both ventricles using both methods. For statistical analysis two-factorial analyses of variance were performed for the four variables: VEF right ventricle, VEF left ventricle, required time right ventricle, required time left ventricle (SAS, Anova).Results: There was no user or method effect detectable for both ventricles. The required time for both ventricles also did not reveal a user effect, but there was a dramatic method effect concerning a reduction of the required time for analysis for both ventricles >50%.Conclusions: The semiautomatic mode for detecting the endocardial borders in determining right and left ventricular ejection fractions did not demonstrate results differing from the results of the manual method, but is significantly superior concerning the time required for analysing ejection fractions of both ventricles with a reduction of over 50%. This might significantly reduce the expenditure for personnel. More... »

PAGES

136-142

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s001170050022

DOI

http://dx.doi.org/10.1007/s001170050022

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003067189

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10758627


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnosis, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diastole", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endocardium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging, Cine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stroke Volume", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Systole", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Left", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Right", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institut f\u00fcr Diagnostische Radiologie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE", 
          "id": "http://www.grid.ac/institutes/grid.411327.2", 
          "name": [
            "Institut f\u00fcr Diagnostische Radiologie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koch", 
        "givenName": "J.-A.", 
        "id": "sg:person.01230075746.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230075746.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut f\u00fcr Diagnostische Radiologie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE", 
          "id": "http://www.grid.ac/institutes/grid.411327.2", 
          "name": [
            "Institut f\u00fcr Diagnostische Radiologie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Poll", 
        "givenName": "L. W.", 
        "id": "sg:person.015121333707.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015121333707.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sektion f\u00fcr Biostatistik, Klinik f\u00fcr Thorax- und Kardiovaskul\u00e4re Chirurgie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE", 
          "id": "http://www.grid.ac/institutes/grid.411327.2", 
          "name": [
            "Sektion f\u00fcr Biostatistik, Klinik f\u00fcr Thorax- und Kardiovaskul\u00e4re Chirurgie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Godehardt", 
        "givenName": "E.", 
        "id": "sg:person.01213465656.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213465656.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut f\u00fcr Diagnostische Radiologie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE", 
          "id": "http://www.grid.ac/institutes/grid.411327.2", 
          "name": [
            "Institut f\u00fcr Diagnostische Radiologie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, DE"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u00f6dder", 
        "givenName": "U.", 
        "id": "sg:person.0637037231.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637037231.08"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2000-02", 
    "datePublishedReg": "2000-02-01", 
    "description": "Purpose: To evaluate method- and user effects as well as the required time in the determination of left- and right ventricular ejection fractions in comparing manual and semiautomatic border detection of the endocardium.Methods: In 22 patients with varying cardiac diseases endocardial borders were detected either manually or semiautomatically (seeded ROI) and subsequently the right and left ventricular volume ejection fractions were computer-calculated. Two investigators defined the endocardial borders for both ventricles using both methods. For statistical analysis two-factorial analyses of variance were performed for the four variables: VEF right ventricle, VEF left ventricle, required time right ventricle, required time left ventricle (SAS, Anova).Results: There was no user or method effect detectable for both ventricles. The required time for both ventricles also did not reveal a user effect, but there was a dramatic method effect concerning a reduction of the required time for analysis for both ventricles >50%.Conclusions: The semiautomatic mode for detecting the endocardial borders in determining right and left ventricular ejection fractions did not demonstrate results differing from the results of the manual method, but is significantly superior concerning the time required for analysing ejection fractions of both ventricles with a reduction of over 50%. This might significantly reduce the expenditure for personnel.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s001170050022", 
    "inLanguage": "de", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018339", 
        "issn": [
          "0033-832X", 
          "1432-2102"
        ], 
        "name": "Der Radiologe", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "40"
      }
    ], 
    "keywords": [
      "statistical analysis", 
      "semiautomatic mode", 
      "variables", 
      "method effects", 
      "variance", 
      "analysis", 
      "results", 
      "time", 
      "user effect", 
      "border detection", 
      "endocardial border", 
      "users", 
      "mode", 
      "reduction", 
      "manual method", 
      "determination", 
      "detection", 
      "effect", 
      "fraction", 
      "investigators", 
      "expenditure", 
      "ventricular ejection fraction", 
      "ejection fraction", 
      "border", 
      "right ventricle", 
      "right ventricular ejection fraction", 
      "semiautomatic border detection", 
      "volume ejection fraction", 
      "ventricle", 
      "two-factorial analysis", 
      "bei", 
      "rights", 
      "patients", 
      "endocardium", 
      "personnel", 
      "method", 
      "cardiac diseases endocardial borders", 
      "diseases endocardial borders", 
      "ventricular volume ejection fractions", 
      "VEF right ventricle", 
      "VEF", 
      "time right ventricle", 
      "dramatic method effect", 
      "Bestimmung links- und rechtsventrikul\u00e4rer Volumenejektionsfraktionen", 
      "links- und rechtsventrikul\u00e4rer Volumenejektionsfraktionen", 
      "rechtsventrikul\u00e4rer Volumenejektionsfraktionen", 
      "MRT bei"
    ], 
    "name": "Bestimmung links- und rechtsventrikul\u00e4rer Volumenejektionsfraktionen (VEF) mittels MRT bei 1,0 T", 
    "pagination": "136-142", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003067189"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s001170050022"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "10758627"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s001170050022", 
      "https://app.dimensions.ai/details/publication/pub.1003067189"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_310.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s001170050022"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s001170050022'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s001170050022'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s001170050022'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s001170050022'


 

This table displays all metadata directly associated to this object as RDF triples.

212 TRIPLES      21 PREDICATES      94 URIs      86 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s001170050022 schema:about N0ec46504b3e746849d4c1f6cc52b4301
2 N2123d04f3cd74614b4caf1b286336a79
3 N24738d72ea154629acc25baf3e724e03
4 N2750c45a0ec443569781cf44821a40de
5 N3260d74300ee40a38b4150ddce022b00
6 N327811bc3afe41799d95931c33e6cb93
7 N3df5afc476de453ea11c38d0b551f648
8 N42bdf0cb88e147c5aaf04d9fa928e0b4
9 N52447059ecf3473b822d855028d6db8c
10 N5ac8852acd034c4fa513115c74c075d4
11 N5f087149ee2a42f8ac134836b4b245ab
12 N7b5ae2c251264d998b0174adb765e245
13 N8b25c4bd3ee143a985f598611a201ced
14 Na0993ea2bdde4bfcbcfb45ba81bf93d4
15 Na747710e5a854862ac4763039a626198
16 Nba53571ef0dc4ca8bdd83ba4ee0ae6c3
17 Nbeb70a8a36e340628176ec2233161be2
18 Nccb3e1f917574e838df9604a89db873f
19 Nfbea757a420b4b93a2dc6e035b91aab7
20 Nffe8a2ae6b26495795a39f8c45720b6b
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author N47685141a923490e87d5b2190bd67740
24 schema:datePublished 2000-02
25 schema:datePublishedReg 2000-02-01
26 schema:description Purpose: To evaluate method- and user effects as well as the required time in the determination of left- and right ventricular ejection fractions in comparing manual and semiautomatic border detection of the endocardium.Methods: In 22 patients with varying cardiac diseases endocardial borders were detected either manually or semiautomatically (seeded ROI) and subsequently the right and left ventricular volume ejection fractions were computer-calculated. Two investigators defined the endocardial borders for both ventricles using both methods. For statistical analysis two-factorial analyses of variance were performed for the four variables: VEF right ventricle, VEF left ventricle, required time right ventricle, required time left ventricle (SAS, Anova).Results: There was no user or method effect detectable for both ventricles. The required time for both ventricles also did not reveal a user effect, but there was a dramatic method effect concerning a reduction of the required time for analysis for both ventricles >50%.Conclusions: The semiautomatic mode for detecting the endocardial borders in determining right and left ventricular ejection fractions did not demonstrate results differing from the results of the manual method, but is significantly superior concerning the time required for analysing ejection fractions of both ventricles with a reduction of over 50%. This might significantly reduce the expenditure for personnel.
27 schema:genre article
28 schema:inLanguage de
29 schema:isAccessibleForFree false
30 schema:isPartOf Nc8bf84d7d5794e3a929c5abe294d2de8
31 Neafc2ac22ca44f7c886f3899eae334cf
32 sg:journal.1018339
33 schema:keywords Bestimmung links- und rechtsventrikulärer Volumenejektionsfraktionen
34 MRT bei
35 VEF
36 VEF right ventricle
37 analysis
38 bei
39 border
40 border detection
41 cardiac diseases endocardial borders
42 detection
43 determination
44 diseases endocardial borders
45 dramatic method effect
46 effect
47 ejection fraction
48 endocardial border
49 endocardium
50 expenditure
51 fraction
52 investigators
53 links- und rechtsventrikulärer Volumenejektionsfraktionen
54 manual method
55 method
56 method effects
57 mode
58 patients
59 personnel
60 rechtsventrikulärer Volumenejektionsfraktionen
61 reduction
62 results
63 right ventricle
64 right ventricular ejection fraction
65 rights
66 semiautomatic border detection
67 semiautomatic mode
68 statistical analysis
69 time
70 time right ventricle
71 two-factorial analysis
72 user effect
73 users
74 variables
75 variance
76 ventricle
77 ventricular ejection fraction
78 ventricular volume ejection fractions
79 volume ejection fraction
80 schema:name Bestimmung links- und rechtsventrikulärer Volumenejektionsfraktionen (VEF) mittels MRT bei 1,0 T
81 schema:pagination 136-142
82 schema:productId N7720a07d22e04664bd3d34d587017536
83 Na142c795706c4445ba10c42a369efbdc
84 Ne502d37fd07b432587a8770ea337fb66
85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003067189
86 https://doi.org/10.1007/s001170050022
87 schema:sdDatePublished 2022-01-01T18:09
88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
89 schema:sdPublisher N066ccd6385084474b23ce052d14ce630
90 schema:url https://doi.org/10.1007/s001170050022
91 sgo:license sg:explorer/license/
92 sgo:sdDataset articles
93 rdf:type schema:ScholarlyArticle
94 N066ccd6385084474b23ce052d14ce630 schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 N08ff82d33eb24c178eca054208a2f9eb rdf:first sg:person.015121333707.86
97 rdf:rest N1fea05ca0a2a4ccbae037dfe0746986b
98 N0ec46504b3e746849d4c1f6cc52b4301 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Diagnosis, Computer-Assisted
100 rdf:type schema:DefinedTerm
101 N1fea05ca0a2a4ccbae037dfe0746986b rdf:first sg:person.01213465656.44
102 rdf:rest Ne5c3e0f15dd5433fb99b10da6e9397fb
103 N2123d04f3cd74614b4caf1b286336a79 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Female
105 rdf:type schema:DefinedTerm
106 N24738d72ea154629acc25baf3e724e03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Aged
108 rdf:type schema:DefinedTerm
109 N2750c45a0ec443569781cf44821a40de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Ventricular Function, Right
111 rdf:type schema:DefinedTerm
112 N3260d74300ee40a38b4150ddce022b00 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Humans
114 rdf:type schema:DefinedTerm
115 N327811bc3afe41799d95931c33e6cb93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Middle Aged
117 rdf:type schema:DefinedTerm
118 N3df5afc476de453ea11c38d0b551f648 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Diastole
120 rdf:type schema:DefinedTerm
121 N42bdf0cb88e147c5aaf04d9fa928e0b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Adult
123 rdf:type schema:DefinedTerm
124 N47685141a923490e87d5b2190bd67740 rdf:first sg:person.01230075746.29
125 rdf:rest N08ff82d33eb24c178eca054208a2f9eb
126 N52447059ecf3473b822d855028d6db8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Magnetic Resonance Imaging, Cine
128 rdf:type schema:DefinedTerm
129 N5ac8852acd034c4fa513115c74c075d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Software
131 rdf:type schema:DefinedTerm
132 N5f087149ee2a42f8ac134836b4b245ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Heart Diseases
134 rdf:type schema:DefinedTerm
135 N7720a07d22e04664bd3d34d587017536 schema:name dimensions_id
136 schema:value pub.1003067189
137 rdf:type schema:PropertyValue
138 N7b5ae2c251264d998b0174adb765e245 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Systole
140 rdf:type schema:DefinedTerm
141 N8b25c4bd3ee143a985f598611a201ced schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Ventricular Function, Left
143 rdf:type schema:DefinedTerm
144 Na0993ea2bdde4bfcbcfb45ba81bf93d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Stroke Volume
146 rdf:type schema:DefinedTerm
147 Na142c795706c4445ba10c42a369efbdc schema:name pubmed_id
148 schema:value 10758627
149 rdf:type schema:PropertyValue
150 Na747710e5a854862ac4763039a626198 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Image Interpretation, Computer-Assisted
152 rdf:type schema:DefinedTerm
153 Nba53571ef0dc4ca8bdd83ba4ee0ae6c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Predictive Value of Tests
155 rdf:type schema:DefinedTerm
156 Nbeb70a8a36e340628176ec2233161be2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Male
158 rdf:type schema:DefinedTerm
159 Nc8bf84d7d5794e3a929c5abe294d2de8 schema:issueNumber 2
160 rdf:type schema:PublicationIssue
161 Nccb3e1f917574e838df9604a89db873f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Algorithms
163 rdf:type schema:DefinedTerm
164 Ne502d37fd07b432587a8770ea337fb66 schema:name doi
165 schema:value 10.1007/s001170050022
166 rdf:type schema:PropertyValue
167 Ne5c3e0f15dd5433fb99b10da6e9397fb rdf:first sg:person.0637037231.08
168 rdf:rest rdf:nil
169 Neafc2ac22ca44f7c886f3899eae334cf schema:volumeNumber 40
170 rdf:type schema:PublicationVolume
171 Nfbea757a420b4b93a2dc6e035b91aab7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Endocardium
173 rdf:type schema:DefinedTerm
174 Nffe8a2ae6b26495795a39f8c45720b6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Electrocardiography
176 rdf:type schema:DefinedTerm
177 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
178 schema:name Medical and Health Sciences
179 rdf:type schema:DefinedTerm
180 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
181 schema:name Clinical Sciences
182 rdf:type schema:DefinedTerm
183 sg:journal.1018339 schema:issn 0033-832X
184 1432-2102
185 schema:name Der Radiologe
186 schema:publisher Springer Nature
187 rdf:type schema:Periodical
188 sg:person.01213465656.44 schema:affiliation grid-institutes:grid.411327.2
189 schema:familyName Godehardt
190 schema:givenName E.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213465656.44
192 rdf:type schema:Person
193 sg:person.01230075746.29 schema:affiliation grid-institutes:grid.411327.2
194 schema:familyName Koch
195 schema:givenName J.-A.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230075746.29
197 rdf:type schema:Person
198 sg:person.015121333707.86 schema:affiliation grid-institutes:grid.411327.2
199 schema:familyName Poll
200 schema:givenName L. W.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015121333707.86
202 rdf:type schema:Person
203 sg:person.0637037231.08 schema:affiliation grid-institutes:grid.411327.2
204 schema:familyName Mödder
205 schema:givenName U.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637037231.08
207 rdf:type schema:Person
208 grid-institutes:grid.411327.2 schema:alternateName Institut für Diagnostische Radiologie, Heinrich-Heine-Universität Düsseldorf, DE
209 Sektion für Biostatistik, Klinik für Thorax- und Kardiovaskuläre Chirurgie, Heinrich-Heine-Universität Düsseldorf, DE
210 schema:name Institut für Diagnostische Radiologie, Heinrich-Heine-Universität Düsseldorf, DE
211 Sektion für Biostatistik, Klinik für Thorax- und Kardiovaskuläre Chirurgie, Heinrich-Heine-Universität Düsseldorf, DE
212 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...